LAUSR

Decentralized P2P Federated Learning for Privacy-Preserving and Resilient Mobile Robotic Systems

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2 Published in 2023 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.004.2200381

Abstract: Swarms of mobile robots are being widely applied for complex tasks in various practical scenarios toward modern smart industry. Federated learning (FL) has been developed as a promising privacy-preserving paradigm to tackle distributed machine learning… read more here.

Keywords: mobile robotic; federated learning; privacy preserving; robotic systems ... See more keywords